Data Science Programming with Python Training

Python is the most popular programming language for Data Science. Our Python for Data Science training courses teach attendees how to code in Python for their data projects and include hands-on labs to help develop real-world skills.

Data Science Using Python Deep Dive
Course ID: WA3364
Delivery: On-Site or Instructor-led Virtual

This Python for Data Science training course is ideal for engineers, data scientists, statisticians, and other quantitative professionals looking to hone their Python programming skills. Our experienced instructors will guide you through all the basics, helping you to become a proficient Python programmer.

 

Practical Data Science and Machine Learning with Python
Course ID: WA3419
Delivery: On-Site or Instructor-led Virtual

This Data Science and Machine Learning (ML) with Python training course teaches attendees how to extract meaning from data, empowering you to solve real-world problems, make informed decisions, and uncover hidden patterns. Through hands-on labs and practical exercises, students master essential Python libraries, explore powerful algorithms, and learn to apply real-world best practices to data science and ML.

Applied Data Science with Python
Course ID: WA2715
Delivery: On-Site or Instructor-led Virtual

If you’re an analyst, developer, architect, or technical manager, you will need to use Python in the fields of data science, business analytics, and data logistics. In this intensive 2-day course, we cover both theoretical and practical core concepts of Python and how it applies to these areas.

 

Comprehensive NumPy and Pandas
Course ID: WA3234
Delivery: On-Site or Instructor-led Virtual

This comprehensive NumPy and Pandas hands-on training course aims at removing obstacles between aspiring data practitioners and their next professional expertise milestone on their career path.

NumPy and Pandas Essentials
Course ID: WA3424
Delivery: On-Site or Instructor-led Virtual

In this NumPy and pandas training course, attendees learn how to use these essential Python libraries to craft clean and organized datasets, use the quick calculations of NumPy for deeper insights, and tell visual stories through pandas manipulations. Attendees also master advanced techniques like time series analysis and data merging, all while learning efficient coding practices.